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Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated <t>using</t> <t>Matlab</t> (version R2016b; https://www.mathworks.com ) and <t>ArcMap</t> (version 10.2; https://www.esri.com ), used herein under license.
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Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated <t>using</t> <t>Matlab</t> (version R2016b; https://www.mathworks.com ) and <t>ArcMap</t> (version 10.2; https://www.esri.com ), used herein under license.
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Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated <t>using</t> <t>Matlab</t> (version R2016b; https://www.mathworks.com ) and <t>ArcMap</t> (version 10.2; https://www.esri.com ), used herein under license.
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Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated <t>using</t> <t>Matlab</t> (version R2016b; https://www.mathworks.com ) and <t>ArcMap</t> (version 10.2; https://www.esri.com ), used herein under license.
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Journal: Cell systems

Article Title: Quantitative yeast genetic interaction profiling of bacterial effector proteins uncovers a role for the human retromer in Salmonella infection

doi: 10.1016/j.cels.2018.06.010

Figure Lengend Snippet: TABLE FOR AUTHOR TO COMPLETE

Article Snippet: Genetic interactions were scored with the E-MAP toolkit ( https://sourceforge.net/projects/emap-toolbox/ ) in Matlab (version 7.13 R2011b).

Techniques: Produced, Virus, Recombinant, shRNA, Knockdown, Sequencing, Plasmid Preparation, Software

Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated using Matlab (version R2016b; https://www.mathworks.com ) and ArcMap (version 10.2; https://www.esri.com ), used herein under license.

Journal: Scientific Reports

Article Title: Disentangling the coupling between sea ice and tundra productivity in Svalbard

doi: 10.1038/s41598-017-06218-8

Figure Lengend Snippet: Heterogeneous Correlation Maps. Heterogeneous Correlation Maps between sea ice concentration and Normalised Difference Vegetation Index ( NDVI ) anomalies for the 1 st Singular Value ( SV ) during ( a ) the Early Growing Season ( EGS ; June 10 – July 4); ( b ) the Peak of Growing Season ( JL ; June 26 – August 5); and ( c ) the Late Growing Season ( LGS ; August 5 – September 6, see Methods) for the West ( left panel ) and East ( right panel ) halves of the Svalbard Archipelago. Land pixels show the correlation between observed NDVI (period 2000–2014) and the expansion coefficients of Sea Ice for the 1 st SV ; Ocean pixels show the correlation between observed Sea Ice concentration (period 2000–2014) and the expansion coefficients of NDVI for the 1 st SV . Maps were generated using Matlab (version R2016b; https://www.mathworks.com ) and ArcMap (version 10.2; https://www.esri.com ), used herein under license.

Article Snippet: Maps were generated using Matlab (version R2016b; https://www.mathworks.com ) and ArcMap (version 10.2; https://www.esri.com ), used herein under license.

Techniques: Concentration Assay, Generated