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Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data
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, {U(0), …, U(q),...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940021/ https://www.ncbi.nlm.nih.gov/pubmed/31895936 http://dx.doi.org/10.1371/journal.pone.0225953 |
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author | Srivastava, Deepansh J. Vosegaard, Thomas Massiot, Dominique Grandinetti, Philip J. |
author_facet | Srivastava, Deepansh J. Vosegaard, Thomas Massiot, Dominique Grandinetti, Philip J. |
author_sort | Srivastava, Deepansh J. |
collection | PubMed |
description | 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, {U(0), …, U(q), …, U(p−1)}, discretely sampled at M unique points in a d-dimensional independent variable (X(0), …, X(k), …, X(d−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. |
format | Online Article Text |
id | pubmed-6940021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69400212020-01-10 Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data Srivastava, Deepansh J. Vosegaard, Thomas Massiot, Dominique Grandinetti, Philip J. PLoS One Research Article 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, {U(0), …, U(q), …, U(p−1)}, discretely sampled at M unique points in a d-dimensional independent variable (X(0), …, X(k), …, X(d−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. Public Library of Science 2020-01-02 /pmc/articles/PMC6940021/ /pubmed/31895936 http://dx.doi.org/10.1371/journal.pone.0225953 Text en © 2020 Srivastava et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Srivastava, Deepansh J. Vosegaard, Thomas Massiot, Dominique Grandinetti, Philip J. Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title | Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title_full | Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title_fullStr | Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title_full_unstemmed | Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title_short | Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data |
title_sort | core scientific dataset model: a lightweight and portable model and file format for multi-dimensional scientific data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940021/ https://www.ncbi.nlm.nih.gov/pubmed/31895936 http://dx.doi.org/10.1371/journal.pone.0225953 |
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