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  1. Global Class Rasters of Rivers and Lakes. April 2021 [dataset] [Download]

    Title: Global Class Rasters of Rivers and Lakes. April 2021 [dataset]
    Contributors: Creator: Carbonneau, Patrice (Durham University)
    Editor: Bizzi, Simone (University of Padova)
    Description:
    Keywords:
    Date Uploaded: 10 November 2022

  2. Near-Infrared Electroluminescence beyond 940 nm in Pt(N^C^N)X Complexes: Influencing Aggregation with the Ancillary Ligand X [dataset] [Download]

    Title: Near-Infrared Electroluminescence beyond 940 nm in Pt(N^C^N)X Complexes: Influencing Aggregation with the Ancillary Ligand X [dataset]
    Contributors: Creator: Pander, Piotr (Faculty of Chemistry, Silesian University of Technology; Department of Physics, Durham University)
    Contact person: Pander, Piotr (Faculty of Chemistry, Silesian University of Technology; Department of Physics, Durham University)
    Salthouse, Rebecca J. (Department of Chemistry, Durham University)
    Yufit, Dmitry S. (Department of Chemistry, Durham University)
    Dias, Fernando B. (Department of Physics, Durham University)
    Williams, J.A. Gareth (Department of Chemistry, Durham University)
    Description:
    Keywords: Excimer, Platinum complex, Near infrared, Photophysics, OLED, Aggregation
    Date Uploaded: 8 November 2022

  3. Holocaust education [image] [Download]

    Title: Holocaust education [image]
    Contributors: Creator: Adamson, Daniel (Durham University, United Kingdom)
    Description:
    Keywords: Holocaust education
    Date Uploaded: 8 November 2022

  4. Global Class Rasters of Rivers and Lakes

    Collection icon
    Title: Global Class Rasters of Rivers and Lakes
    Contributors: Creator: Carbonneau, Patrice (Durham University)
    Editor: Carbonneau, Patrice (Durham University)
    Editor: Bizzi, Simone (University of Padova)
    Description: Please consult the README file for more information.
    Keywords: Deep Learnig, Remote Sensing, Google Earth engine
    Date Uploaded:

  5. DCAD poster competition 2022

    Collection icon
    Title: DCAD poster competition 2022
    Contributors: Creator: Postgraduate students (Durham University)
    Description:
    Keywords:
    Date Uploaded:

  6. Assembling Single RbCs Molecules with Optical Tweezers [dataset] [Download]

    Title: Assembling Single RbCs Molecules with Optical Tweezers [dataset]
    Contributors: Creator: Spence, Stefan (Durham University, United Kingdom)
    Contact person: Spence, Stefan (Durham University, United Kingdom)
    Description:
    Keywords: Optical tweezers, Ultracold molecules, Atoms, Laser cooling
    Date Uploaded: 27 October 2022

  7. Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition [dataset] [Download]

    Title: Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition [dataset]
    Contributors: Creator: Miles, Victoria (Durham University, UK)
    Description:
    Keywords: Machining features dataset, STEP format, STL format, Recursive neural network, Recurrent neural network
    Date Uploaded: 27 October 2022

  8. Integrating Petrophysical, Geological and Geomechanical Modelling to Assess Stress States, Overpressure Development and Compartmentalisation Adjacent to a Salt Wall, Gulf of Mexico [dataset] [Download]

    Title: Integrating Petrophysical, Geological and Geomechanical Modelling to Assess Stress States, Overpressure Development and Compartmentalisation Adjacent to a Salt Wall, Gulf of Mexico [dataset]
    Contributors: Obradors-Prats, Joshua (Three Cliffs Geomechanical Analysis / Newcastle University)
    Creator: Calderon Medina, Erika (Durham University, United Kingdom)
    Jones, Stuart (Durham University, United Kingdom)
    Aplin, Andrew (Durham University, United Kingdom)
    Rouainia, Mohamed (Newcastle University, United Kingdom)
    Crook, Anthony (Three Cliffs Geomechanical Analysis, United Kingdom)
    Description: High pore fluid pressures exert a major influence on important geological processes such as subsidence, slope failure, faulting and folding. A quantitative understanding of pore fluid pressure also underpins the safe design of wellbore drilling operations, as well as the injection rates and maximum volume of subsurface storage of CO2 and H2 since resulting high pore pressures can lead to fracturing of the overburden. Here, hydro-mechanical forward models are used to understand the development and distribution of very high and spatially variable fluid pressures in channel sands within the Magnolia Field, which is located close to a salt dome on the continental slope of the Gulf of Mexico. Whilst the main contributor to high fluid pressures is loading due to the high rate of deposition of mud-rich sediments, tectonic loading related to salt dome movement contributes around seven percent of the observed overpressure. The models also show that linked to the high sedimentation rates, small variations in the permeability and connectivity of the mud-rich sections that bound channel sands result in highly compartmentalised pressure distributions in adjacent sand bodies; these are very hard to predict prior to drilling.
    Keywords: ParaGeo Modelling Data & Results
    Date Uploaded: 21 October 2022

  9. Evaporation of alcohol droplets on surfaces in moist air [dataset] [Download]

    Title: Evaporation of alcohol droplets on surfaces in moist air [dataset]
    Contributors: Creator: Yang, Lisong (Chemistry Department, Durham University, UK)
    Data collector: Yang, Lisong (Chemistry Department, Durham University, UK)
    Editor: Yang, Lisong (Chemistry Department, Durham University, UK)
    Creator: Bain, Colin. D. (Chemistry Department, Durham University, UK)
    Data collector: Bain, Colin. D. (Chemistry Department, Durham University, UK)
    Editor: Bain, Colin. D. (Chemistry Department, Durham University, UK)
    Description: Includes videos and Excel spreadsheets.
    Keywords: Droplet evaporation, Condensation, Marangoni stress, Rim instability, Lubrication theory
    Date Uploaded: 9 October 2022

  10. Decarbonising electrical grids using photovolatics with enhanced capacity factors [software] [Download]

    Title: Decarbonising electrical grids using photovolatics with enhanced capacity factors [software]
    Contributors: Creator: Williams, Cai (Durham University, UK)
    Editor: Williams, Cai (Durham University, UK)
    Data collector: Michales, Hannes (Newcastle University, UK)
    Editor: Michales, Hannes (Newcastle University, UK)
    Creator: Crossland, Andrew (Durham Energy Institute, UK)
    Editor: Crossland, Andrew (Durham Energy Institute, UK)
    Editor: Shirshova, Natasha (Durham University, UK)
    Editor: Mackenzie, Roderick (Durham University, UK)
    Editor: Sun, Hongjian (Durham University, UK)
    Data collector: Kettle, Jeff (Glasgow University, UK)
    Editor: Kettle, Jeff (Glasgow University, UK)
    Data collector: Freitag, Marina (Newcastle University, UK)
    Editor: Freitag, Marina (Newcastle University, UK)
    Contact person: Groves, Chris (Durham University, UK)
    Editor: Groves, Chris (Durham University, UK)
    Description: Includes CSV data.
    Keywords:
    Date Uploaded: 5 October 2022