This UKCCSRC (UK Carbon Capture and Storage Research Centre) Call 1 project involved the development, testing and validation of a two-fluid transient flow model for simulating outflow following the failure of high pressure CO2 pipelines is presented. The project made use of experimental data and used experimental data available from other UK/EC funded projects. The model developed accounts for thermal and mechanical non-equilibrium effects during depressurisation by utilising simple constitutive relations describing inter-phase mass, heat and momentum transfer in terms of relaxation to equilibrium. Pipe wall/fluid heat exchange on the other hand is modelled by coupling the fluid model with a finite difference transient heat conduction model. This paper describes the model, the details of its numerical solution and its validation as well as parametric analysis of relevant parameters. http://www.sciencedirect.com/science/article/pii/S1750583614002394, DOI: 10.1016/j.ijggc.2014.08.013. UKCCSRC grant UKCCSRC-C1-07.

Synchrotron X-radiography (images) and diffraction data collected to measure rheology of Quartz coesite and stishovite.

Measurements of sediment properties (incl. organic and carbonate content), radionuclides (210Pb, 137Cs, 241Am) and elements (including mercury, nickel, copper, zinc, and lead) in lake sediment successions. Radionuclide dating provides a reliable chronology of sediment ages from the mid-19th century (sometimes only 20th century) to the present (2016). The dataset comprises a standardised matrix of multiple measured sediment variables (element values per mass) against stratigraphic depth for 8 lakes. In these water bodies multiple core datasets exist, one collected from the littoral zone, one of intermediate depth and one from the deepest area. The deepest core was used for 210Pb dating. The intermediate and littoral depth cores are not dated, except at Esthwaite where the littoral core (29328_ESTH_LITT.csv) had been previously collected, 210Pb dated and measured for organic and carbonate content. Full details about this dataset can be found at https://doi.org/10.5285/87dec506-ca7f-4b57-a605-486ec9d8cca2

These data are the recorded outcomes of binary male choice experiments. Teleopsis dalmanni males were able to choose to mate with either a large or a small female. Individuals were taken from laboratory stock populations. Also included is information on male genotype indicating if he is a carrier of a sex-ratio distorting or nondistorting X chromosome, and a calculation of male preference. The second dataset additionally contains measures of male eyespan and thorax length obtained by measuring images. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/d6c36f89-07f1-4bcc-96a0-f5302fd3ccec

The data contain phenotype measures of Teleopsis dalmanni males. Individuals were all taken from a laboratory stock population. Individuals carried either a nondistorting wildtype X chromosome or a sex-ratio distorting X chromosome. Data were obtained by measuring images of testes, accessory glands, thorax and eyespan, and direct counts of fertilised (hatched) and unfertilised egg. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/6e4c5823-35f5-4c90-b616-2190d87c0391

The raw data contain genotype information for offspring collected from controlled crosses of Teleopsis dalmanni. Parents were taken from laboratory stock populations. Offspring genotypes were assigned by sizing a microsatellite, which distinguishes sex-ratio distorting and nondistorting X chromosomes. Also included is information on offspring sex and food treatment. The processed data summarises genotype counts by collection date and cage id (date/food treatment/cage). Also included is a fitness calculation for each genotype in each cage. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/71529a64-6c1b-4c8f-ae3f-7c4870efd976

This dataset provides daily, 8-day, and monthly Arctic melt pond fractions and binary classification, from 2021-05-01 to 2022-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algorithms such as multi-layer neural networks and logistic regression were applied to map melt pond fraction and binary melt pond/ice classification. This work was funded by NERC standard grant NE/R017123/1.

This dataset provides daily, 8-day, and monthly Arctic melt pond fractions and binary classification, from 2000-06-01 to 2020-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algorithms such as multi-layer neural networks and logistic regression were applied to map melt pond fraction and binary melt pond/ice classification. This work was funded by NERC standard grant NE/R017123/1.

The dataset comprises output data from a Life Cycle Assessment (LCA) model focused on compostable nappies. It includes detailed information on various life cycle stages (manufacture, transport, use, collection, and disposal) and the environmental impact associated with each. The data is structured as CSV files, detailing material inputs, energy consumption, and resulting environmental outputs. The dataset facilitates the analysis of different end-of-life scenarios for compostable nappies, including landfill, incineration, and composting. Full details about this dataset can be found at https://doi.org/10.5285/dcb5904b-0e5a-4065-842a-b8ee8ec8554e

Ascii files or tables with earthquake source and model parameters determined for the Wells, Nevada earthquake