Investigating an Open Source Cloud Storage Infrastructure for CERN-specific Data Analysis

2012 ◽  
Author(s):  
Salman Toor ◽  
Rainer Toebbicke ◽  
Maitane Zotes Resines ◽  
Sverker Holmgren
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Cloud Storage ◽  
Specific Data

scholarly journals XRD Data Visualization, Processing and Analysis with d1Dplot and d2Dplot Software Packages

Proceedings ◽  
2020 ◽  
Vol 62 (1) ◽  
pp. 9
Author(s):  
Oriol Vallcorba ◽  
Jordi Rius
Keyword(s):  
Data Analysis ◽  
Data Visualization ◽  
X Ray Diffraction ◽  
Specific Data ◽  
X Ray ◽  
Software Packages ◽  
Compound Database ◽  
Synchrotron Light ◽  
User Friendly ◽  
Transformation Processes

The d1Dplot and d2Dplot computer programs have been developed as user-friendly tools for the inspection and processing of 1D and 2D X-ray diffraction (XRD) data, respectively. d1Dplot provides general tools for data processing and includes the ability to generate comprehensive 2D plots of multiple patterns to easily follow transformation processes. d2Dplot is a full package for 2D XRD data. Besides general processing tools, it includes specific data analysis routines for the application of the through-the-substrate methodology [Rius et al. IUCrJ 2015, 2, 452–463]. Both programs allow the creation of a user compound database for the identification of crystalline phases. The software can be downloaded from the ALBA Synchrotron Light Source website and can be used free of charge for non-commercial and academic purposes.

An overview of newly open-source cloud storage platforms

2012 ◽  
Author(s):  
Genqiang Gu ◽  
Qingchun Li ◽  
Xiaolong Wen ◽  
Yun Gao ◽  
Xuejie Zhang
Keyword(s):  
Open Source ◽  
Cloud Storage

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

scholarly journals Digitizing the Non-Digital: Creating a Global Context for Events, Artifacts, Ideas, and Information

2006 ◽  
Vol 25 (2) ◽  
pp. 95 ◽  
Author(s):  
Deborah L. MacPherson
Keyword(s):  
Open Source ◽  
Spatial Databases ◽  
Digital Rights Management ◽  
Relevant Information ◽  
Demonstration Project ◽  
Specific Data ◽  
Global Context ◽  
Digital Rights ◽  
Knowledge Domains ◽  
Rights Management

This paper discusses some of the problems associated with search and digital-rights management in the emerging age of interconnectivity. An open-source system called Context Driven Topologies (CDT) is proposed to create one global context of geography, knowledge domains, and Internet addresses, using centralized spatial databases, geometry, and maps. The same concept can be described by different words, the same image can be interpreted a thousand ways by every viewer, but mathematics is a set of rules to ensure that certain relationships or sequences will be precisely regenerated. Therefore, unlike most of today’s digital records, CDTs are based on mathematics first, images second, words last. The aim is to permanently link the highest quality events, artifacts, ideas, and information into one record documenting the quickest paths to the most relevant information for specific data, users, and tasks. A model demonstration project using CDT to organize, search, and place information in new contexts while protecting the authors’ intent is also introduced.

scholarly journals JSim, an open‐source modeling system for data analysis and reproducibility in research (733.1)

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
James Bassingthwaighte ◽  
Erik Butterworth ◽  
Bart Jardine ◽  
Gary Raymond ◽  
Maxwell Neal
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Source Modeling

scholarly journals Value Investment Based on Data Analysis with Comparison of Three Insurance Corporations in the US

2020 ◽  
Vol 214 ◽  
pp. 01001
Author(s):  
Jinnan Sun
Keyword(s):  
Data Analysis ◽  
Crucial Role ◽  
Insurance Industry ◽  
Investment Analysis ◽  
Insurance Companies ◽  
Specific Data ◽  
The Us ◽  
Investment Advice

Value investment analysis plays a crucial role in people’s judgment of whether an enterprise is worthy of continuing investment. Because it helps people reduce the likelihood of making a bad investment, whether it’s worth it, and how do you combine the various factors. The purpose of this paper is to analyze the value of the company’s investment in the insurance industry. AIG, ALL and MET were selected from a large number of insurance companies. Using P/E and P/S ratio to compare the prospects of several companies of the same type through specific data, investment analysis. Finally, the best companies to invest in among the three companies are obtained by combining the display situation, and give final investment advice.

scholarly journals ORYX-MRSI: A Fully-Automated Open-Source Software for Three-Dimensional Proton Magnetic Resonance Spectroscopic Imaging Data Analysis

2021 ◽  
Author(s):  
Sevim Cengiz ◽  
Muhammed Yildirim ◽  
Abdullah Bas ◽  
Esin Ozturk-Isik
Keyword(s):  
Data Analysis ◽  
Magnetic Resonance ◽  
Chemical Shift ◽  
Open Source ◽  
Proton Magnetic Resonance ◽  
Spectroscopic Imaging ◽  
Brain Atlas ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Spectral Quality ◽  
Chemical Shift Artifact

Proton magnetic resonance spectroscopic imaging (1H-MRSI) provides noninvasive evaluation of brain metabolism. However, there are some limitations of 1H-MRSI preventing its wider use in the clinics, including the spectral quality issues, partial volume effect and chemical shift artifact. Additionally, it is necessary to create metabolite maps for analyzing spectral data along with other MRI modalities. In this study, a MATLAB-based open-source data analysis software for 3D 1H-MRSI, called Oryx-MRSI, which includes modules for visualization of raw 1H-MRSI data and LCModel outputs, chemical shift correction, tissue fraction calculation, metabolite map production, and registration onto standard MNI152 brain atlas while providing automatic spectral quality control, is presented. Oryx-MRSI implements region of interest analysis at brain parcellations defined on MNI152 brain atlas. All generated metabolite maps are stored in NIfTI format. Oryx-MRSI is publicly available at https://github.com/sevimcengiz/Oryx-MRSI along with six example datasets.

scholarly journals QQuake, a QGIS Plugin for Loading Seismological Data From Web Services

2021 ◽  
Vol 9 ◽  
Author(s):  
Mario Locati ◽  
Roberto Vallone ◽  
Matteo Ghetta ◽  
Nyall Dawson
Keyword(s):  
Web Services ◽  
Open Source ◽  
Source Code ◽  
International Federation ◽  
Specific Data ◽  
The Past ◽  
Data Formats ◽  
Seismological Data ◽  
Open Geospatial Consortium ◽  
Multiple Levels

An increasing number of web services providing convenient access to seismological data have become available in recent years. A huge effort at multiple levels was required to achieve this goal and the seismological community was engaged in the standardization of both data formats and web services. Although access to seismological data is much easier than in the past, users encounter problems because of the large number of web services, and due to the complexity of the discipline-specific data encodings. In addition, instead of adopting cross-disciplinary standards such as those by the Open Geospatial Consortium (OGC), most seismological web services created their own standards, primarily those by the International Federation of Digital Seismograph Networks (FDSN). This article introduces “QQuake,” a plugin for QGIS—the Open Source Geographic Information System—that aims at making access to seismological data easier. The plugin is based on an Open Source code available on GitHub, and it is designed in a modular and customizable way, allowing users to easily include new web services.

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