An Extension to the JCAMP-DX Standard File Format, JCAMP-DX V.5.01

2016 ◽  
Author(s):  
Peter Lampen ◽  
Jörg Lambert ◽  
Robert J. Lancashire ◽  
Robert S. Mcdonald ◽  
Peter S. Mcintyre ◽  
...  
Keyword(s):  
File Format ◽  
Standard File Format

scholarly journals dsCleaner: A Python Library to Clean, Preprocess and Convert Non-Instrusive Load Monitoring Datasets

Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 123 ◽  
Author(s):  
Manuel Pereira ◽  
Nuno Velosa ◽  
Lucas Pereira
Keyword(s):  
Data Science ◽  
Vital Role ◽  
Technical Note ◽  
File Format ◽  
Structural Differences ◽  
Load Monitoring ◽  
Standard File Format ◽  
Real World Datasets ◽  
Development Evaluation ◽  
New Algorithms

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.

An Extension to the JCAMP-DX Standard File Format, JCAMP-DX V.5.01

1999 ◽  
Vol 71 (8) ◽  
pp. 1549-1556 ◽  
Author(s):  
Peter Lampen ◽  
Jörg Lambert ◽  
R. J. Lancashire ◽  
R. S. McDonald ◽  
P. S. McIntyre ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Careful Consideration ◽  
File Format ◽  
Nmr Data ◽  
File Formats ◽  
Standard File Format ◽  
Good Laboratory ◽  
Year 2000

Version 5.00 of the JCAMP-DX specifications were published for NMR and Mass Spectrometry file formats in Appl. Spectrosc.47, 1093-1099, (1993) and Appl. Spectrosc.48, 1545-1552, (1994). Since publication of these protocols developments in spectroscopy have led to a large number of requests for additions for applications not originally covered. Following careful consideration, it has become apparent that a few minor modifications will significantly increase the range of possible applications.In addition, new data labels have been introduced to ensure that files are year 2000 compliant and allow for conformity with good laboratory practices (GLP). These modifications are detailed in this publication as well as examples of the official NTUPLE JCAMP-DX definition as applied to NMR data.

A standard file format for data from DNA sequencing instruments

DNA Sequence ◽  
1992 ◽  
Vol 3 (2) ◽  
pp. 107-110 ◽  
Author(s):  
Simon Dear ◽  
Rodger Staden
Keyword(s):  
Dna Sequencing ◽  
File Format ◽  
Standard File Format

scholarly journals ThermoRawFileParser: modular, scalable and cross-platform RAW file conversion

2019 ◽  
Author(s):  
Niels Hulstaert ◽  
Timo Sachsenberg ◽  
Mathias Walzer ◽  
Harald Barsnes ◽  
Lennart Martens ◽  
...  
Keyword(s):  
File Format ◽  
Mass Spectrometers ◽  
Continuous Growth ◽  
Workflow Systems ◽  
File Formats ◽  
Standard File Format ◽  
Cross Platform ◽  
Quantitative Results ◽  
Cloud Infrastructures ◽  
User Friendly

AbstractThe field of computational proteomics is approaching the big data age, driven both by a continuous growth in the number of samples analysed per experiment, as well as by the growing amount of data obtained in each analytical run. In order to process these large amounts of data, it is increasingly necessary to use elastic compute resources such as Linux-based cluster environments and cloud infrastructures. Unfortunately, the vast majority of cross-platform proteomics tools are not able to operate directly on the proprietary formats generated by the diverse mass spectrometers. Here, we presented ThermoRawFileParser, an open-source, crossplatform tool that converts Thermo RAW files into open file formats such as MGF and to the HUPO-PSI standard file format mzML. To ensure the broadest possible availability, and to increase integration capabilities with popular workflow systems such as Galaxy or Nextflow, we have also built Conda and BioContainers containers around ThermoRawFileParser. In addition, we implemented a user-friendly interface (ThermoRawFileParserGUI) for those users not familiar with command-line tools. Finally, we performed a benchmark of ThermoRawFileParser and msconvert to verify that the converted mzML files contain reliable quantitative results.

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