Contributors: Abhishek Singharoy, John Vant
... Contained herein are scripts for making all-atom models of a Rhodobacter sphaeroides chromatophore. Also, configuration scripts for Molecular Dynamics (MD) and Brownian Dynamics (BD) simulations of the aforementioned model using the simulation package NAMD. Additionally, there are scripts to run APBS calculations. Below are links to the chromatophore structure file, gridpdb file and map file required to run the NAMD simulation. https://drive.google.com/a/asu.edu/file/d/10gVADYl320HJiNoe4ilagAKoI7UeR638/view?usp=sharing https://drive.google.com/a/asu.edu/file/d/1MZpm3ABXIPjfbKYLOZOSKbmQJZx4yma1/view?usp=sharing https://drive.google.com/a/asu.edu/file/d/1v9Ni3OlrG45qfA5bO2meIc5xwxT8A1En/view?usp=sharing Below here is a link to the Movies for the submitted manuscript. https://drive.google.com/a/asu.edu/file/d/1N4GmSsWBGxJVrYXVWBHhP-Stf5ASWkZx/view?usp=sharing
Contributors: Rishav Goyal, Matthew H England, Alex Sen Gupta, Martin Jucker
... Data files required to produce the figures presented in "Goyal, Rishav; England, Matthew; Sen Gupta, Alex; Jucker, Martin (2019) Reduction in surface climate change achieved by the 1987 Montreal Protocol", Environmental Research Letters. doi: https://doi.org/10.1088/1748-9326/ab4874
Contributors: Patricia Sawamura, Nicholas Pringle
... Internal testing - Mendeley data - fake data
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A new method for analyzing sustainability performance of global supply chains and its application to material resources
Contributors: Livia Cabernard, Stephan Pfister, Stefanie Hellweg
... VERSION 2 Compared to version 1, version 2 runs without matlab. The file “Instructions.pdf” attached below explains how to install and use this application. The file “Explanation_method_examples.pptx” attached below illustrates the principle of the method and how to use the application with several examples. OVERALL DESCRIPTION (same as for version 1): We share here the data compiled to calculate the results presented in the study «A new method for analyzing sustainability performance of global supply chains and its application to material resources». In order to allow for the compilation of all results of interest, we provide an application. This application is based on the multi-regional-input output database EXIOBASE3 (version 3.4) and data to assess the potential environmental impacts of emissions and resource use. While the data for assessing the environmental impacts is provided here, the user must download the Exiobase data from the Exiobase website (due to copyright issues). The provided application allows to assess the cumulated upstream impacts of any sector or region on the globe without double-counting and to track these impacts upstream and downstream the global value chain. The application covers a broad set of environmental and socio-economic indicators and the timespan from 1995 to 2011. The methodology of this application is comprehensively explained in the study: «A new method for analyzing sustainability performance of global supply chains and its application to material resources» (e.g Section 2.1 gives a broad overview of the principle of the method). Link to the study: https://doi.org/10.1016/j.scitotenv.2019.04.434
Contributors: Laisuo Su
... The data here includes necessary information for the MWR-assisted surface engineering project we worked on.
Contributors: LC Stetson
... Input data files and results for HOMER motif analysis for sex specific differences in methylation in glioma.
Contributors: Laura Newsome
... Data associated with manuscript 'Manganese and cobalt redox cycling in laterites; biogeochemical and bioprocessing implications'
Contributors: Thomas Wollmann, Haris Tabakovic
... This dataset replicates tables and figures in the article "The Impact of Money on Science." The paper measures the productivity of university research investments and asks whether the resulting pools of knowledge create valuable, downstream technology (or simply accumulate in the “ivory tower”). It uses unexpected NCAA athletic outcomes to vary research support to university faculty and estimate knowledge productivity. We find positive, significant effects of research expenditures on articles published and patents filed. Then, using data on university technology licensing income, we show that these investments produce large returns in real terms. The data consists of an instrument, inputs, and outputs (from the knowledge production process). -The instrument consists of Associated Press college football team rankings. -The inputs the knowledge production function consist of the following: * research support expenditures (downloaded from the National Science Foundation) * faculty headcounts and expenditures (also downloaded from the National Science Foundation) * physical capital, i.e. facility expenditures (downloaded from IPEDS) - The outputs measure patenting, publishing, and licensing activity * Patent data comes from PatentsView.org (http://www.patentsview.org) and the USPTO Office of the Chief Economist. * Publishing activity is measured by academic publications, mainly in the ``STEM'' fields * University technology licensing revenues are surveyed and published by Association of University Technology Managers (``AUTM'') More details on the construction of these measures can be found in the associated article. Name correspondences are provided in an Excel file (nameMerge.xlsx). Code that combines the data from the subfolders and replicates the relevant tables and figures of the paper is provided in a STATA "do" file (master_final.do). Output files are exported to the "output" subfolder.
Contributors: Stefan Lampaert
... All the matlab and comsol files needed to reproduce the work presented in this paper.
Contributors: Phil Symonds
... These data were used to quantify the impacts of air pollution policies on population health and health inequalities within a microsimulation model, MicroEnv . They provide a basis for comparing results from similar models and allow researchers to integrate additional model components.  P. Symonds, E. Hutchinson, A. Ibbetson, J. Taylor, J. Milner, Z. Chalabi, M. Davies, P. Wilkinson, MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities, Science of The Total Environment, Volume 697, (2019) 134105, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2019.134105.