Data for: Information content of funds from operation and net income in real estate investment trusts
Contributors: Doojin Ryu, Sangik Seok, Hoon Cho
... Data Description ‘raw.zip’ contains raw data which are used in the study. - ‘ff_factor’ is five factor return obtained from French’s website - ‘return_total’ is daily return of both REITs and non-REITs. - ‘used_reit_comp’ is raw COMPUSTAT data for REITs and ‘used_total_comp’ is raw COMPUSTAT data for non-REITs. ‘input.zip’ contains processed data. - ‘ann_ex_ret’ and ‘total_ann_ex_ret’ are three days cumulative abnormal return following earnings announcement for REITs and non-REITs, respectively. - ‘ann_raw_ret’ and ‘total_ann_raw_ret’ are three days cumulative raw return following earnings announcement for REITs and non-REITs, respectively. - ‘earnings’ and ‘total_earnings’ are earnings for REITs and non-REITs respectively. - ‘eps_ffo' and ‘total_eps_ffo' are ffo per share for REITs and non-REITs respectively. - ‘eps_ni' and ‘total_eps_ni' are ni per share for REITs and non-REITs respectively. - ‘ffo' and ‘total_ ffo' are ffo for REITs and non-REITs respectively. - ‘ni' and ‘total_ ni' are ni for REITs and non-REITs respectively. - ‘reit_atq_rank’ and ‘total_atq_rank’ are size rank based on total asset for REITs and non-REITs respectively. - ‘reit_rdq’ and ‘total_rdq’ are earnings announcement date for REITs and non-REITs respectively. - ‘sretq’ and ‘total_sret’ are gain or loss from sales of property for REITs and non-REITs respectively. - ‘depre’ and ‘total_depre’ are depreciation and amortization for REITs and non-REITs respectively. - ‘sue_ffo' and ‘total_sue_ffo' are standardized unexpected earnings for ffo for REITs and non-REITs respectively. - ‘sue_ni' and ‘total_sue_ni' are standardized unexpected earnings for ni for REITs and non-REITs respectively. - ‘sue_ffo_rank' and ‘total_sue_ffo_rank' are historical rank of standardized unexpected earnings for ffo for REITs and non-REITs respectively. - ‘sue_ni_rank' and ‘total_sue_ni_rank' are historical rank of standardized unexpected earnings for ffo for REITs and non-REITs respectively. ‘ziman.zip’ contains data from CRSP/Ziman database
Contributors: N. Sanna, G. Morelli, S. Orlandini, M. Tacconi, I. Baccarelli
... SCELib is a computer program which implements the Single Center Expansion (SCE) method to describe molecular electronic densities and the interaction potentials between a charged projectile (electron or positron) and a target molecular system. The first version (CPC Catalog identifier ADMG_v1_0) was submitted to the CPC Program Library in 2000, version 2.0 (ADMG_v2_0) was submitted in 2004 and version 3.0 (ADMG_v3_0) was submitted in 2009. We here announce the new release 4.0 which presents additional features with respect to the previous versions aiming at a significant enhancement of its capabilities to deal with larger molecular systems. In SCELib 4.0 we implemented an automatic R grid generator based on a screened nuclear potential. By coupling the R generator with a parametric θ, ϕ definition of the angular grid, one is then able to define the 3D grid which best follows the molecular shape of systems as large as nucleotides and DNA fragments. The list of supported architectures has been updated and the code already ported in v3.0 to hybrid platforms based on NVIDIA GPU, has now been fully ported in double precision arithmetic and parallelized with MPI under either Linux or Microsoft Windows operating systems. The resulting benchmarks of the new code will be discussed in details and for the first time we present the performance test on a system as large as the Cytidine Mono Phosphate (CMP) which at present is the largest system ever simulated with this and related kind of codes.
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
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Contributors: Alon Poleg-Polsky
... Simulation of neuronal processing of noise-corrupted inputs NEURON simulation (http://neuron.yale.edu/neuron)
Data for: The WC-Co/Fe-Ni interface: effect of holding time on the microstructure, grain size and grain growth mechanism
Contributors: Peiquan Xu
... The enclosed data provide the X-Ray Diffraction of samples W2, W3, W4, and invar alloy for comparison.
Contributors: Lauri Himanen, Marc O.J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, Adam S. Foster
... DScribe is a software package for machine learning that provides popular feature transformations (“descriptors”) for atomistic materials simulations. DScribe accelerates the application of machine learning for atomistic property prediction by providing user-friendly, off-the-shelf descriptor implementations. The package currently contains implementations for Coulomb matrix, Ewald sum matrix, sine matrix, Many-body Tensor Representation (MBTR), Atom-centered Symmetry Function (ACSF) and Smooth Overlap of Atomic Positions (SOAP). Usage of the package is illustrated for two different applications: formation energy prediction for solids and ionic charge prediction for atoms in organic molecules. The package is freely available under the open-source Apache License 2.0.
Contributors: Kazimierz Becek
... The air temperature and light intensity were recorded in tropical rainforest of Brunei Darussalam, at 20’ interval in 2017. HOBO Pendant® data loggers were attached to tree trunks approx. 2 m above ground. The data can be used to study various microclimatic and ecological characteristics of tropical rainforests in Brunei and other locations.
Contributors: M. Sana Ullah Sahar
... This archive contains firmware of the nerve stretcher as well as necessary files to develop PCB for the device. This project is actively being maintained at GitHub. The updated versions of these scripts can be downloaded any time from our GitHub repository (https://github.com/msanaullahsahar/nestv2). If you find any issue/problem/error in these scripts please do not hesitate to report at (https://github.com/msanaullahsahar/nestv2/issues).
Contributors: Wen-Tai Hsu, Yi Lu, Guiying Laura Wu
... The files in this directory replicate the results in the paper “Competition, Markups, and Gains from Trade: A Quantitative Analysis of China Between 1995 and 2004” by Wen-Tai Hsu, Yi Lu, and Guiying Laura Wu.
Contributors: Qiankun Liu, Jingang Jiang, Changwei Jing, Zhong Liu, Jiaguo Qi
... In this paper, a new, alternative, multi-scale, multi-pollution source waste load allocation (WLA) system was developed, with a goal to produce optimal, fair quota allocations at multiple scales. The new WLA system integrates multi-constrained environmental Gini coefficients (EGCs) and Delphi-analytic hierarchy process (Delphi-AHP) optimization models to achieve the stated goal. This dataset consists of the raw data and the source code of models (The multi-constrained environmental Gini coefficients and Delphi-analytic hierarchy process optimization models). The source code of the multi-constrained EGCs and Delphi-AHP models was used to run the program in MATLAB environment to allocate waste load reduction quotas at both the regional scale and the site-specific scale with multiple pollution sources. The raw data mainly consists of the following two parts: (1) The shp files of various geographic information data, which was used to depicture the administrative divisions, pollution source distribution, geographical characteristics and patterns of Xian-jiang watershed; (2) The basic data includes the statistical yearbook data of villages and towns in Ningbo city, the various indicator data using to calculate the weights at criteria level and decision-making level, the contribution coefficients, and the EGC values of the three pollutants. On the basis of these data, a new, alternative, multi-scale, multi-sector optimal WLA framework was developed. The new scheme provides decision-makers critical information (i.e., the best compromise solutions of WLA) and practical guidance as they address the related water pollution control. The results, in comparison with existing practices by the local governments, suggested that the pollution discharge quota at regional scale is much fairer than the existing WLA and, even have some environmental economic benefits at pollutant source scale after optimal WLA. Some important conclusions had been found: 1) Reductions and proportions of pollutants at regional scale are significantly associated with the region’s actual socioeconomic development modes. 2）There are certain characteristics that high-reduced pollution sources tend to share (which are listed in the article). The sources with the above features should be the top priorities in the reduction of removals. 3）Most previous studies reported primarily on the WLA of removals among point sources pollution. Conversely, we found that the industrial pollution source should be the last option for reduction from an environmental-economic benefit perspective. Instead, the often overlooked types, such as agricultural non-point source and domestic sources, deserve more attention, especially in extensive rural areas.