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Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data
- Source :
- PLoS ONE, Srivastava, D, Vosegaard, T, Massiot, D & Grandinetti, P J 2020, ' Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data ', PLOS ONE, vol. 15, no. 1, e0225953 . https://doi.org/10.1371/journal.pone.0225953, PLoS ONE, Public Library of Science, 2020, 15, pp.e0225953. ⟨10.1371/journal.pone.0225953⟩, PLoS ONE, Vol 15, Iss 1, p e0225953 (2020), PLOS ONE
- Publication Year :
- 2019
-
Abstract
- 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.
- Subjects :
- Science and Technology Workforce
Databases, Factual
Computer science
engineering
open data
computer.software_genre
Careers in Research
Spectrum analysis techniques
01 natural sciences
Electron Microscopy
010303 astronomy & astrophysics
media_common
computer.programming_language
Data Management
Microscopy
Multidisciplinary
Latitude
Geography
Sampling (statistics)
[CHIM.MATE]Chemical Sciences/Material chemistry
Grid
File format
JSON
Professions
Data Acquisition
Longitude
Data exchange
computer software
Medicine
biology and life sciences
data reduction
Data mining
data processing
[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]
Research Article
Cartography
Computer and Information Sciences
databases
Science Policy
Serialization
media_common.quotation_subject
Science
010402 general chemistry
information storage and retrieval
NMR spectroscopy
physical sciences
0103 physical sciences
Block (data storage)
software tools
Metadata
Variables
Models, Statistical
data mining
0104 chemical sciences
Research and analysis methods
People and Places
Earth Sciences
Scientists
Programming Languages
Population Groupings
Transmission Electron Microscopy
computer
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....a88e1370e4fb1941ffc270f21cdd608d
- Full Text :
- https://doi.org/10.1371/journal.pone.0225953