Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data

Autoři: Deepansh J. Srivastava aff001;  Thomas Vosegaard aff002;  Dominique Massiot aff003;  Philip J. Grandinetti aff001
Působiště autorů: Department of Chemistry, Ohio State University, 100 West 18th Avenue, Columbus, OH 43210, United States of America aff001;  Laboratory for Biomolecular NMR Spectroscopy, Department of Molecular and Structural Biology, University of Aarhus, DK-8000 Aarhus C, Denmark aff002;  CEMHTI UPR3079 CNRS, Univ. Orléans, F-45071 Orléans, France aff003
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225953


The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is presented as a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. This model supports datasets with a p-component dependent variable, {U0, …, Uq, …, Up−1}, discretely sampled at M unique points in a d-dimensional independent variable (X0, …, Xk, …, Xd−1) space. Moreover, this sampling is over an orthogonal grid, regular or rectilinear, where the principal coordinate axes of the grid are the independent variables. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.

Klíčová slova:

Data acquisition – Latitude – Longitude – Metadata – NMR spectroscopy – Programming languages – Scientists – Transmission electron microscopy


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Článek vyšel v časopise


2020 Číslo 1