Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).

Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported...

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Main Authors:	Elliot Sivel (11104990), Benjamin Planque (641756), Ulf Lindstrøm (641757), Nigel G. Yoccoz (112251)
Format:	Still Image
Language:	unknown
Published:	2021
Subjects:	Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control Subarctic
Online Access:	https://doi.org/10.1371/journal.pone.0254015.g005

id	ftsmithonian:oai:figshare.com:article/14939821
record_format	openpolar
spelling	ftsmithonian:oai:figshare.com:article/14939821 2023-05-15T15:38:29+02:00 Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B). Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) 2021-07-09T17:34:00Z https://doi.org/10.1371/journal.pone.0254015.g005 unknown https://figshare.com/articles/figure/Dynamical_principal_component_analysis_dPCA_on_fluxes_generated_by_the_NDND_and_CaN_models_and_displayed_as_scatter_plot_A_and_projection_of_initial_variables_B_/14939821 doi:10.1371/journal.pone.0254015.g005 CC BY 4.0 CC-BY Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0254015.g005 2021-07-25T17:32:29Z Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported on each axis. Still Image Barents Sea Subarctic Unknown Barents Sea
institution	Open Polar
collection	Unknown
op_collection_id	ftsmithonian
language	unknown
topic	Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control
spellingShingle	Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251) Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
topic_facet	Cell Biology Evolutionary Biology Ecology Cancer Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified top-down trophic control Biomass configurations fall Non-Deterministic Network Dynamic model subarctic shelf sea NDND biomass displays fluctuations Barents Sea Barents Sea food-web food-web configurations trophic control
description	Each individual point represents a simulated flow configuration at time step t (grey points). The projection of reconstructed data is represented as black points. Blue lines show the contours of the density of observations in the simulated data only. The percentage of variance explained is reported on each axis.
format	Still Image
author	Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251)
author_facet	Elliot Sivel (11104990) Benjamin Planque (641756) Ulf Lindstrøm (641757) Nigel G. Yoccoz (112251)
author_sort	Elliot Sivel (11104990)
title	Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
title_short	Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
title_full	Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
title_fullStr	Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
title_full_unstemmed	Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).
title_sort	dynamical principal component analysis (dpca) on fluxes generated by the ndnd and can models and displayed as scatter plot (a) and projection of initial variables (b).
publishDate	2021
url	https://doi.org/10.1371/journal.pone.0254015.g005
geographic	Barents Sea
geographic_facet	Barents Sea
genre	Barents Sea Subarctic
genre_facet	Barents Sea Subarctic
op_relation	https://figshare.com/articles/figure/Dynamical_principal_component_analysis_dPCA_on_fluxes_generated_by_the_NDND_and_CaN_models_and_displayed_as_scatter_plot_A_and_projection_of_initial_variables_B_/14939821 doi:10.1371/journal.pone.0254015.g005
op_rights	CC BY 4.0
op_rightsnorm	CC-BY
op_doi	https://doi.org/10.1371/journal.pone.0254015.g005
_version_	1766369457355096064

Dynamical principal component analysis (dPCA) on fluxes generated by the NDND and CaN models and displayed as scatter plot (A) and projection of initial variables (B).

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