Microbeam analysis. EMSA/MAS standard file format for spectral-data exchange

2013 ◽  
1993 ◽  
Vol 47 (8) ◽  
pp. 1093-1099 ◽  
Author(s):  
Antony N. Davies ◽  
Peter Lampen

Following the development and publication of the JCAMP-DX protocol 4.24 and its successful implementation in the field of infrared spectroscopy, data exchange without loss of information, between systems of different origin and internal format, has become a reality. The benefits of this system-independent data transfer standard have been recognized by workers in other areas who have expressed a wish for an equivalent, compatible standard in their own fields. This publication details a protocol for the exchange of Nuclear Magnetic Resonance (NMR) spectral data without any loss of information and in a format that is compatible with all storage media and computer systems. The protocol detailed below is designed for spectral data transfer, and its use for NMR imaging data transfer has not as yet been investigated.


2012 ◽  
Vol 263-266 ◽  
pp. 3155-3160
Author(s):  
Jing Jiang ◽  
Cheng Zhou ◽  
Bin Hu

Data exchange is one of the material bottlenecks in information construction. Many data exchange methods have been proposed to improve application interoperability. However, how to reliably provide numerous exchanges of data is a new challenge. In this paper, we design a new file format, aim to solve the above problem. The format ESFT not only guarantees the safety performance, but also dynamically generates ESFT label to record exchange historical information.


Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 123 ◽  
Author(s):  
Manuel Pereira ◽  
Nuno Velosa ◽  
Lucas Pereira

Datasets play a vital role in data science and machine learning research as they serve as the basis for the development, evaluation, and benchmark of new algorithms. Non-Intrusive Load Monitoring is one of the fields that has been benefiting from the recent increase in the number of publicly available datasets. However, there is a lack of consensus concerning how dataset should be made available to the community, thus resulting in considerable structural differences between the publicly available datasets. This technical note presents the DSCleaner, a Python library to clean, preprocess, and convert time series datasets to a standard file format. Two application examples using real-world datasets are also presented to show the technical validity of the proposed library.


Author(s):  
Harlan Stokes

Abstract In the Autumn of 1988, the Materials Operations at Control Data Corporation’s Computer Products Group began a program to electronically exchange mechanical CAD models with its suppliers. The “Supplier CAD-Link” program provided many immediate benefits and offers a unique learning experience about electronic data interchange. Existing technologies are used, so the program operates on a shoestring budget with no major dollar investments required of CDC or the suppliers. The program uses the IGES standard file format, so suppliers can apply the lessons learned to CAD/CAM data exchanges with other companies. Now, with the continuing success of the CAD-Link program. Computer Products is re-evaluating many of the old paper based methods of doing business. This paper explores some of the issues for managing a CAD/GAM data exchange program.


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