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  • Codes for Joshua Hellier's PhD thesis "On Interacting Particles in 1D and 2D" (Python). Related to https://arxiv.org/abs/1803.09712 .
    Data Types:
    • Software/Code
  • Data Types:
    • Software/Code
  • Supplementary material for publication: "Long Term Impact of Grid Level Energy Storage on Renewable Energy Penetration and Emissions in the Chilean Electric System" Includes modifications to Python code and the data for generating different scenarios. Refer to "supplementary_materials.txt" for more information.,Refer to "supplementary_materials.txt" for description of each data file and how to use them.,
    Data Types:
    • Software/Code
  • SPSS code is provided in order for readers to see our analytical approach; due to the confidential nature of questionnaire responses and clinical information on participants with potentially serious incidental findings, it is not possible to publicly share the dataset to which this code pertains. Importantly, any bona fide researcher can apply to use the UK Biobank resource, with no preferential or exclusive access, for health related research that is in the public interest. Application for access to UK Biobank data involves registration and application via the UK Biobank website, with applications considered by the UK Biobank Access Sub-Committee. Following approval, researchers and their institutions sign a Material Transfer Agreement and pay modest access charges. Further information on applying to access UK Biobank data is available at: http://www.ukbiobank.ac.uk/register-apply/.
    Data Types:
    • Software/Code
  • The MATLAB and image J scripts provided here were used to analyse array tomography image stacks in the study "Reducing tau ameliorates behavioural and transcriptional deficits in a novel model of Alzheimer's disease" by Pickett et al (https://doi.org/10.1101/393405 ). If you would like more details of how we used these scripts, please contact Prof Tara Spires-Jones tara.spires-jones@ed.ac.uk
    Data Types:
    • Software/Code
  • DALEC2 is an intermediate complexity model of terrestrial carbon cycling. DALEC2 ("Data assimilation linked ecosystem carbon model, version 2") resolves gross primary production; its allocation to labile, foliar, wood and fine root pools; the turnover and mortality of these pools, generating dead organic matter; the mineralisation of dead organic matter in litter and soil. DALEC2 operates at daily-monthly timescales, and requires as input daily max and min temperature, total daily shortwave radiation, atmospheric CO2 concentration and day of year. DALEC2 has 6 C pools, 17 fluxes, and 17 parameters. The GPP model is ACM, a sub-model that has 10 parameters - 9 of these are fixed, and one is a common parameter with DALEC2.
    Data Types:
    • Software/Code
  • Seasonal mean outputs from numerical experiments with HadGEM3-GA6 model. Datasets correspond to two nudged runs (forced dynamics to be similar to ERA-Interim), one with fixed aerosol emissions and one with evolving historical emissions.
    Data Types:
    • Software/Code
  • This data set contains the source codes for the simulations presented in the paper. J. Kim, and D. Laurenson, and J. Thompson, "Adaptive Centralized Random Access for Collision Free Wireless Local Area Networks" IEEE Access, March 2019. This software was developed based on the Network Simulator (NS) open source. It requires to download the NS-3.25 as a prerequisite. This can be downloaded at www.nsnam.org,This data set contains the source codes for the simulations presented in the paper. - J. Kim, and D. Laurenson, and J. Thompson, "Adaptive Centralized Random Access for Collision Free Wireless Local Area Networks" IEEE Access, March 2019. Contents 1. readme.txt - this file. 2. avba_demo.tgz - archive containing source code files, test file, and shell script files for changing simulation parameters,
    Data Types:
    • Software/Code
  • This toolbox includes the Matlab implementations of the GPIS and Acc-GPIS algorithms for efficiently solving the l_1 constrained least-squares regression and nuclear-norm constrained multivariate regression tasks, proposed in the ICML 2017 paper "Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares", as well as the Rest-Katyusha and Adaptive Rest-Katyusha algorithms for the Lasso and elastic-net regularized least-squares regression tasks, proposed in the NeurIPS 2018 paper "Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes".
    Data Types:
    • Software/Code
  • Source code and example for the aggregated canopy model for gross primary productivity and evapotranspiration version 1 (ACM-GPP-ET v1). ACM-GPP-ETv1 is a model of intermediate complexity representing coupled daily plant carbon (photosynthesis or GPP) and water cycles (transpiration, soil evaporation and evaporation of canopy intercepted rainfall). ACM-GPP-ET represents the whole plant hydraulic pathway balancing available water supply and evaporative demand through ecophysiological principles.,Software is composed of an input / output code (written in R) and an analysis code base of the simulation mode (written in Fortran). The software package include a example file "ACM_GPP_ET_single_site_test.r", an ./input directory and ./src. The example file deals with input and output of the analysis. The ./input directory contains input drivers for a single site example. The ./src directory contains two Fortran files. ./src/ACM_GPP_ET.f90 contains the main source code of the ACM-GPP-ET model while ./src/ACM_GPP_ET_R_interface.f90 handles in needed interface between the R component of the analysis system and the main Fortran model.,
    Data Types:
    • Software/Code